Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Podrobná bibliografie
Hlavní autoři:	Rahman, Shaomi, Hemel, Jonayed Nafis, Anta, Syed Junayed Ahmed, Al Muhee, Hossain
Další autoři:	Uddin, Jia
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	BRAC University 2018
Témata:	Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language
On-line přístup:	http://hdl.handle.net/10361/10163

Podobné jednotky

Analyzing users’ sentiment towards video games based on reviews from microblog
Autor: Roy, Abhijeet, a další
Vydáno: (2018)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
Autor: Rabbi, Md. Nafis
Vydáno: (2024)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
Autor: Maliha, Miftahul Zannat, a další
Vydáno: (2023)

Microblog sentiment analysis for rating TV shows
Autor: Abdullah, Ashik
Vydáno: (2017)

Sentiment analysis on mobile operators’ customer review
Autor: Hossain, Mohammed Mohibul, a další
Vydáno: (2020)

Sentiment analysis for Bengali newspaper headlines
Autor: Hossain, Mohammad Samman, a další
Vydáno: (2017)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
Autor: Islam, Shadman, a další
Vydáno: (2020)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
Autor: Chakraborty, Sovon
Vydáno: (2024)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
Autor: Ghose, Swattic, a další
Vydáno: (2023)

Amazon product reviews sentiment analysis using supervised learning algorithms
Autor: Hawladar, Mohibullah, a další
Vydáno: (2021)

Sentimental analysis on political speeches
Autor: Atiq, Asif, a další
Vydáno: (2022)

Performing sentiment analysis in Bangla microblog posts
Autor: Chowdhury, Shaika, a další
Vydáno: (2017)

Product rating generation based on public opinion using sentiment analysis
Autor: Rabbi, Reshan Ahmed, a další
Vydáno: (2018)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
Autor: Kafi, Abdullahil, a další
Vydáno: (2018)

Optimizing restaurant recommendations through sentiment analysis
Autor: Juha, Tasnia, a další
Vydáno: (2024)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
Autor: Hossain, Md. Ishan Arefin, a další
Vydáno: (2018)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
Autor: Symum, Md Abdullah Al, a další
Vydáno: (2023)

An effective machine learning approach for sentiment analysis of restaurant reviews
Autor: Karim, Rabita
Vydáno: (2018)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Autor: Shourin, Bushra, a další
Vydáno: (2018)

Aspect-based sentiment analysis using SemEval and Amazon datasets
Autor: Hasib, Tamanna, a další
Vydáno: (2018)

A sustainable Bitcoin architecture
Autor: Monem, Maruf
Vydáno: (2022)

A framework for sentiment analysis: a data-driven approach
Autor: Islam, Md. Jahedul, a další
Vydáno: (2021)

Human sentiment analysis using natural language processing
Autor: Shamya, Md. Shamiul Haque Khan, a další
Vydáno: (2024)

Sentiment classification on Bengali food and restaurant reviews
Autor: Hossain, Abid, a další
Vydáno: (2024)

Sentiment analysis in Bengali Text using NLP
Autor: Sarkar, Ankon, a další
Vydáno: (2023)

Predicting stock market movement using sentiment analysis of twitter feed
Autor: Chakraborty, Pranjal, a další
Vydáno: (2017)

Bang-lish sentiment classification using deep learning
Autor: Saleheen, Abrar, a další
Vydáno: (2023)

Share market forecasting with LSTM neural network and sentimental trend prediction
Autor: Rony, Ismail Hossain, a další
Vydáno: (2020)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
Autor: Uddin, S. M. Rageeb Noor, a další
Vydáno: (2022)

Sentiment analysis on Bangladesh airlines review data using machine learning
Autor: Hasib, Khan Md.
Vydáno: (2022)

Social media sentiment study on COVID-19 outbreak
Autor: Karmaker, Anik, a další
Vydáno: (2021)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
Autor: Deb, Priom, a další
Vydáno: (2024)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
Autor: Shruti, Abanti Chakraborty
Vydáno: (2024)

Bitcoin price forecasting based on historical data
Autor: Roy, Shaily, a další
Vydáno: (2018)

Fluctuating nonlinear oscillators

Inflation Dynamics in Advanced Economies : A Decomposition into Cyclical and Non-Cyclical Factors /
Autor: Lian, Weicheng
Vydáno: (2022)

Sentiments
Autor: Matimba

Drift in Producer Price Indexes for the Former Soviet Union (FSU) Countries /
Autor: Zieschang, Kimberly
Vydáno: (1994)

A machine learning approach to predict movie box-office success
Autor: Quader, Nahid, a další
Vydáno: (2018)

Sentimental Opera
Autor: Stefano Castelvecchi
Vydáno: (2013)